Netflix! What started in 1997 as a DVD rental service has since exploded into one of the largest entertainment and media companies.
Given the large number of movies and series available on the platform, it is a perfect opportunity to flex your exploratory data analysis skills and dive into the entertainment industry. Our friend has also been brushing up on their Python skills and has taken a first crack at a CSV file containing Netflix data. They believe that the average duration of movies has been declining. Using your friends initial research, you'll delve into the Netflix data to see if you can determine whether movie lengths are actually getting shorter and explain some of the contributing factors, if any.
You have been supplied with the dataset netflix_data.csv , along with the following table detailing the column names and descriptions. This data does contain null values and some outliers, but handling these is out of scope for the project. Feel free to experiment after submitting!
The data
netflix_data.csv
| Column | Description |
|---|---|
show_id | The ID of the show |
type | Type of show |
title | Title of the show |
director | Director of the show |
cast | Cast of the show |
country | Country of origin |
date_added | Date added to Netflix |
release_year | Year of Netflix release |
duration | Duration of the show in minutes |
description | Description of the show |
genre | Show genre |
# Importing pandas and matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# Start coding!
#loading dataset
netflix_df = pd.read_csv('netflix_data.csv')
#filtering data to remove TV Shows
netflix_subset = netflix_df[netflix_df['type'] == 'Movie']
#subsetting to keep only stated columns
netflix_movies = netflix_subset[['title', 'country', 'genre', 'release_year', 'duration']]
#filtering for duration shorter than 60 minutes
short_movies = netflix_movies[netflix_movies.duration < 60]
# Define colors list
colors = []
for index, row in netflix_movies.iterrows():
genre = row['genre']
# Assign color based on genre
if genre == 'Children':
colors.append('pink')
elif genre == 'Documentaries':
colors.append('blue')
elif genre == 'Stand-Up':
colors.append('red')
else:
colors.append('black')
colors[:10]
fig = plt.figure(figsize=(12,12))
# Plot outside the loop to avoid creating multiple figures
plt.scatter(netflix_movies.release_year, netflix_movies.duration, c=colors)
plt.xlabel('Release year')
plt.ylabel('Duration (min)')
plt.title('Movie Duration by Year of Release')
plt.show()After inspecting the plot, I will answer 'NO' movies are not getting shorter, as the duration of movies increased from what it was at 1940 to 2020.
After inspecting the plot, I will answer 'NO' movies are not getting shorter, as the duration of movies increased from what it was at 1940 to 2020.